Patents by Inventor Stephen Michael Ash
Stephen Michael Ash has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Using specified performance attributes to configure machine learning pipepline stages for an ETL job
Patent number: 11941016Abstract: Specified performance attributes may be used to configure machine learning transformations for ETL jobs. Performance attributes for a machine learning pipeline that applies a model to as part of a transformation for an ETL job may be used to configure a parameter in a stage of the machine learning pipeline. The configured stage may then be used when training the model. The trained machine learning pipeline may then be applied as part of a transformation operation included in an ETL job performed by the ETL system.Type: GrantFiled: March 4, 2022Date of Patent: March 26, 2024Assignee: Amazon Technologies, Inc.Inventors: Timothy Jones, Andrew Borthwick, Sergei Dobroshinsky, Shehzad Qureshi, Stephen Michael Ash, Pedrito Uriah Maynard-Zhang, Chethan Kommaranahalli Rudramuni, Abhishek Sharma, Juliana Saussy, Adam Lawrence Joseph Heinermann, Alaykumar Navinchandra Desai, Mehul A. Shah, Mehul Y. Shah, Anurag Windlass Gupta, Prajakta Datta Damle -
Publication number: 20230325384Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.Type: ApplicationFiled: March 10, 2023Publication date: October 12, 2023Applicant: Amazon Technologies, Inc.Inventors: Ramesh M Nallapati, Zhiguo Wang, Bing Xiang, Patrick Ng, Yung Haw Wang, Mukul Karnik, Nanyan Li, Sharanabasappa Parashuram Revadigar, Timothy Jones, Stephen Michael Ash, Sudipta Sengupta, Gregory David Adams, Deepak Shantha Murthy, Douglas Scott Cerny, Stephanie Weeks, Hanbo Li
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Patent number: 11726997Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.Type: GrantFiled: November 14, 2022Date of Patent: August 15, 2023Assignee: Amazon Technologies, Inc.Inventors: Jun Wang, Zhiguo Wang, Sharanabasappa Parashuram Revadigar, Ramesh M Nallapati, Bing Xiang, Stephen Michael Ash, Timothy Jones, Sudipta Sengupta, Rishav Chakravarti, Patrick Ng, Jiarong Jiang, Hanbo Li, Donald Harold Rivers Weidner
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Publication number: 20230078177Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.Type: ApplicationFiled: November 14, 2022Publication date: March 16, 2023Applicant: Amazon Technologies, Inc.Inventors: Jun Wang, Zhiguo Wang, Sharanabasappa Parashuram Revadigar, Ramesh M Nallapati, Bing Xiang, Stephen Michael Ash, Timothy Jones, Sudipta Sengupta, Rishav Chakravarti, Patrick Ng, Jiarong Jiang, Hanbo Li, Donald Harold Rivers Weidner
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Patent number: 11604794Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.Type: GrantFiled: March 31, 2021Date of Patent: March 14, 2023Assignee: Amazon Technologies, Inc.Inventors: Ramesh M Nallapati, Zhiguo Wang, Bing Xiang, Patrick Ng, Yung Haw Wang, Mukul Karnik, Nanyan Li, Sharanabasappa Parashuram Revadigar, Timothy Jones, Stephen Michael Ash, Sudipta Sengupta, Gregory David Adams, Deepak Shantha Murthy, Douglas Scott Cerny, Stephanie Weeks, Hanbo Li
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Patent number: 11514054Abstract: Supervised partitioning is used to perform record matching. A request to identify matches between records is received. A graph representation that indicates similarities between the records is partitioned and an evaluation of the partitioning is performed according to a supervised machine learning technique to generate a confidence value in the partitioning. An indication of equivalent records according to the partitioning and the confidence value of the partitioning may be provided.Type: GrantFiled: September 27, 2018Date of Patent: November 29, 2022Assignee: Amazon Technologies, Inc.Inventors: Andrew Borthwick, Robert Anthony Barton, Jr., Stephen Michael Ash, Russell Reas
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Patent number: 11500865Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.Type: GrantFiled: March 31, 2021Date of Patent: November 15, 2022Assignee: Amazon Technologies, Inc.Inventors: Jun Wang, Zhiguo Wang, Sharanabasappa Parashuram Revadigar, Ramesh M Nallapati, Bing Xiang, Stephen Michael Ash, Timothy Jones, Sudipta Sengupta, Rishav Chakravarti, Patrick Ng, Jiarong Jiang, Hanbo Li, Donald Harold Rivers Weidner
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USING SPECIFIED PERFORMANCE ATTRIBUTES TO CONFIGURE MACHINE LEARNING PIPEPLINE STAGES FOR AN ETL JOB
Publication number: 20220261413Abstract: Specified performance attributes may be used to configure machine learning transformations for ETL jobs. Performance attributes for a machine learning pipeline that applies a model to as part of a transformation for an ETL job may be used to configure a parameter in a stage of the machine learning pipeline. The configured stage may then be used when training the model. The trained machine learning pipeline may then be applied as part of a transformation operation included in an ETL job performed by the ETL system.Type: ApplicationFiled: March 4, 2022Publication date: August 18, 2022Applicant: Amazon Technologies, Inc.Inventors: Timothy Jones, Andrew Borthwick, Sergei Dobroshinsky, Shehzad Qureshi, Stephen Michael Ash, Pedrito Uriah Maynard-Zhang, Chethan Kommaranahalli Rudramuni, Abhishek Sharma, Juliana Saussy, Adam Lawrence Joseph Heinermann, Alaykumar Navinchandra Desai, Mehul A. Shah, Mehul Y. Shah, Anurag Windlass Gupta, Prajakta Datta Damle -
Patent number: 11314730Abstract: Techniques for memory-efficient streaming count estimation for multisets are described. A method for memory-efficient streaming count estimation for multisets may include obtaining data from a plurality of data sources, and estimating a count for one or more attributes of the data using a telescoping count-min sketch (CMS) data structure, the telescoping CMS including at least a first table and a second table, wherein count values for the data are stored in a plurality of cells of the first table and when a cell of the first table is saturated, the count values for that cell are stored in a corresponding cell of the second table determined based at least on the cell of the first table.Type: GrantFiled: March 24, 2020Date of Patent: April 26, 2022Assignee: Amazon Technologies, Inc.Inventors: Andrew Borthwick, Stephen Michael Ash
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Patent number: 11269911Abstract: Specified performance attributes may be used to configure machine learning transformations for ETL jobs. Performance attributes for a machine learning pipeline that applies a model to as part of a transformation for an ETL job may be used to configure a parameter in a stage of the machine learning pipeline. The configured stage may then be used when training the model. The trained machine learning pipeline may then be applied as part of a transformation operation included in an ETL job performed by the ETL system.Type: GrantFiled: November 23, 2018Date of Patent: March 8, 2022Assignee: Amazon Technologies, Inc.Inventors: Timothy Jones, Andrew Borthwick, Sergei Dobroshinsky, Shehzad Qureshi, Stephen Michael Ash, Pedrito Uriah Maynard-Zhang, Chethan Kommaranahalli Rudramuni, Abhishek Sharma, Juliana Saussy, Adam Lawrence Joseph Heinermann, Alaykumar Navinchandra Desai, Mehul A. Shah, Mehul Y. Shah, Anurag Windlass Gupta, Prajakta Datta Damle
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Patent number: 11120064Abstract: A data records service is configured to receive original data records and, in parallel, generate a transliterated version of the original data record into a phonetic based language. Individual fields of data records can be transliterated by identifying a primary language, generating language specific tokens for individual text portions, and transliterating the token. The records processing service can then execute matching models on both original data records and transliterated data records to detect matching data records.Type: GrantFiled: November 20, 2018Date of Patent: September 14, 2021Assignee: Amazon Technologies, Inc.Inventor: Stephen Michael Ash
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Patent number: 11113254Abstract: Techniques for scaling record linkage via elimination of highly overlapped blocks are described. A method for scaling record linkage via elimination of highly overlapped blocks includes identifying a first plurality of blocks based at least on a plurality of records stored in a storage service of a provider network, identifying a plurality of sets of matching blocks from the first plurality of blocks, deleting the plurality of sets of matching blocks except for a first block from each set from the plurality of sets of matching blocks, and iteratively performing dynamic blocking based at least on the first block to generate subsequent pluralities of blocks until the subsequent pluralities of blocks are below a threshold size.Type: GrantFiled: September 30, 2019Date of Patent: September 7, 2021Assignee: Amazon Technologies, Inc.Inventors: Andrew Borthwick, Stephen Michael Ash
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Patent number: 11086940Abstract: Techniques for Scalable parallel elimination of approximately subsumed sets are described. A method for Scalable parallel elimination of approximately subsumed sets includes identifying a first plurality of blocks based at least on a plurality of records stored in a storage service of a provider network, determining a plurality of subsumption relationships between blocks from the first plurality of blocks, retaining a first subset of the first plurality of blocks and demoting a second subset of the first plurality of blocks based at least on the plurality of subsumption relationships, and iteratively performing dynamic blocking based at least on the first subset of the plurality of matching blocks and the second subset of the plurality of matching blocks to generate a subsequent pluralities of blocks.Type: GrantFiled: September 30, 2019Date of Patent: August 10, 2021Assignee: Amazon Technologies, Inc.Inventors: Andrew Borthwick, Stephen Michael Ash
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Publication number: 20200159857Abstract: A data records service is configured to receive original data records and, in parallel, generate a transliterated version of the original data record into a phonetic based language. Individual fields of data records can be transliterated by identifying a primary language, generating language specific tokens for individual text portions, and transliterating the token. The records processing service can then execute matching models on both original data records and transliterated data records to detect matching data records.Type: ApplicationFiled: November 20, 2018Publication date: May 21, 2020Inventor: Stephen Michael Ash